{"id":"W4235527823","doi":"10.32920/ryerson.14656314","title":"Architecture without barriers: designing inclusive environments accessible to all","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College; Toronto Metropolitan University","funders":"","keywords":"Architecture; Dignity; Universal design; Equity (law); Social equality; Demographics; Population; Intervention (counseling); Psychology; Computer science; Political science; Sociology; Geography; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00140002,0.0009087585,0.0002774383,0.0006791124,0.00264902,0.004473106,0.001288543,0.001169747,0.004966584],"category_scores_gemma":[0.00325658,0.0004861397,0.0005769292,0.0004840474,0.002806271,0.003674579,0.00802904,0.001191576,0.001013878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050087,"about_ca_system_score_gemma":0.002565134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002789608,"about_ca_topic_score_gemma":0.007772585,"domain_scores_codex":[0.9981821,0.00102156,0.00005731354,0.0001809633,0.0003091364,0.0002489756],"domain_scores_gemma":[0.9990658,0.0003347301,0.0000783653,0.0001424429,0.0001509697,0.000227629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000232055,0.0005955793,0.008650599,0.001865103,0.00009562145,0.002680734,0.08334485,0.06104577,0.02887923,0.5093925,0.01336195,0.289856],"study_design_scores_gemma":[0.00007919961,0.0005963504,0.005433031,0.000933784,0.0001893937,0.00210479,0.06231048,0.05907374,0.009015188,0.2803946,0.5797387,0.0001306765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1730098,0.001296956,0.6635262,0.002661263,0.0002409582,0.0005218599,0.0001035359,0.0007634065,0.1578759],"genre_scores_gemma":[0.6251886,0.001063909,0.343742,0.0004404239,0.00003593043,0.0006984795,0.0001534672,0.0004188666,0.02825833],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004966584,"threshold_uncertainty_score":0.01661491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211197022532814,"score_gpt":0.2349009865545282,"score_spread":0.2227890163292001,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}